Autoguidance #53
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Autoguidance #53
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Really WIP implementation of autoguidance (https://arxiv.org/abs/2406.02507)
Instead of a secondary model we use a Lora model.
Extremely slow because we have to unload/reload the networks each step.
Ideally we merge the weights to a model and load a second copy into memory?
Wrap the Lora text in the prompt with
!!symbols:!!<lora:name:1.0>!!The noise prediction from the lora model will be used for the "bad" guidance. Idea being you can use a poorly trained / over-trained Lora as bad guidance.